A global atlas and drivers of antimicrobial resistance in Salmonella during 1900-2023

Although previous studies using phenotypic or/and genomic approaches monitoring have revealed the spatiotemporal distribution of antimicrobial resistance (AMR) in Salmonella in local areas, their geographical patterns and driving factors remain largely unknown at a global scale. Here, we performed an analysis of publicly available data of 208,233 Salmonella genomes in 148 countries/regions between 1900 and 2023 and explored driving indicators of AMR. Overall, we found that the geographic distribution of AMR varied depending on the location, source, and serovar. The proportion of AMR levels increased across six continents, especially in serovars Agona, Dublin, I 1,4,[5],12:i:-, Muenchen, Senftenberg, Mbandaka mainly from chickens, food, wild animals, and the environment, while decreased in Schwarzengrund and Saintpaul mainly from cattle, pigs, and turkeys. We also found that S. Typhimurium exhibiting macro, red, dry, and rough was detected as early as 1992 in the USA, earlier than in China. Moreover, we identified that antibiotic consumption, agriculture, climate, urban, health, and socioeconomic factors contribute to the development of AMR in Salmonella. We present a globally high-resolution genetic atlas of Salmonella and also identify some factors driving the rise of AMR, which can provide valuable information for understanding the transmission dynamics and evolutionary trajectories of Salmonella.

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Publication Details

Journal
Nature Communications
Published
2025-05-17
DOI
https://doi.org/10.1038/s41467-025-59758-3
Citations
47
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
54.63

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article

A global atlas and drivers of antimicrobial resistance in Salmonella during 1900-2023

George F. Gao, Shulei Jia, Xuebin Xu, Mengqi Qu et al.
47 citations
Nature Communications
Salmonella and Campylobacter epidemiology
54.63
article

A global atlas and drivers of antimicrobial resistance in Salmonella during 1900-2023

George F. Gao, Shulei Jia, Xuebin Xu, Mengqi Qu, Enbo Zhang, Yanan Wang, Jianmin Zhang, Jianli Li, Sufang Ma, Shaofu Qiu, Yuhang Pei, Na Lyu, Yongfei Hu, Baoli Zhu, Yue Liu
article en
47 citations

Abstract

Although previous studies using phenotypic or/and genomic approaches monitoring have revealed the spatiotemporal distribution of antimicrobial resistance (AMR) in Salmonella in local areas, their geographical patterns and driving factors remain largely unknown at a global scale. Here, we performed an analysis of publicly available data of 208,233 Salmonella genomes in 148 countries/regions between 1900 and 2023 and explored driving indicators of AMR. Overall, we found that the geographic distribution of AMR varied depending on the location, source, and serovar. The proportion of AMR levels increased across six continents, especially in serovars Agona, Dublin, I 1,4,[5],12:i:-, Muenchen, Senftenberg, Mbandaka mainly from chickens, food, wild animals, and the environment, while decreased in Schwarzengrund and Saintpaul mainly from cattle, pigs, and turkeys. We also found that S. Typhimurium exhibiting macro, red, dry, and rough was detected as early as 1992 in the USA, earlier than in China. Moreover, we identified that antibiotic consumption, agriculture, climate, urban, health, and socioeconomic factors contribute to the development of AMR in Salmonella. We present a globally high-resolution genetic atlas of Salmonella and also identify some factors driving the rise of AMR, which can provide valuable information for understanding the transmission dynamics and evolutionary trajectories of Salmonella.

Nature CommunicationsVol. 16(1)
South China Agricultural University (CN), Chinese Academy of Sciences (CN), Zhengzhou University (CN), Henan Academy of Sciences (CN), Institute of Automation (CN), Institute of Microbiology (CN), Institute of Physics (CN), Shanghai Municipal Center For Disease Control Prevention (CN), University of Chinese Academy of Sciences (CN), Henan Agricultural University (CN), China Agricultural University (CN), Tianjin Medical University (CN)
Henan Agricultural University, National Key Research and Development Program of China
Openalex Percentile: Top 0%
Salmonella and Campylobacter epidemiology
54.63
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